Rohith V

About Rohith V

I’m a data engineer with 4 years of experience, fueled by a passion for transforming raw data into actionable insights and AI-powered analytics. My expertise lies in designing and implementing efficient data pipelines, ensuring data accuracy and maximizing processing speed while integrating AI/ML models into data workflows and business intelligence platforms. Proficient in Power BI with advanced DAX capabilities to create interactive dashboards that bring data to life and empower stakeholders to make informed decisions through traditional analytics and AI-enhanced insights. I am highly skilled in working with diverse data sources, languages, and tools including Snowflake, DBT, and Azure Data Factory, and my analytical skills allow me to delve deeper, uncovering hidden trends and patterns that drive strategic decision-making and AI model development. Beyond technical expertise in data modeling, feature engineering, and AI/ML integration, I possess excellent communication and collaboration skills, fostering strong relationships with data analysts and business users to understand their needs and translate them into effective data solutions and AI-powered functionality. This combination of technical prowess, analytical thinking, AI/ML expertise, and a collaborative spirit makes me an asset to any data-driven organization.

Experience

1. Data Engineer

   Humana

   Jan 2024 — Present

   Building and orchestrating scalable data pipelines using Azure Data Factory and Apache Airflow, transforming data from multiple sources (SQL, cloud) into AI-ready datasets.• Collaborating with data modelers to design star and snowflake schemas that support both BI analytics and ML workflows.• Enhancing Power BI dashboards with advanced DAX logic and Azure Cognitive Services, enabling predictive and AI-driven insights.• Implementing DBT models and automated testing for robust, version-controlled pipelines with continuous data refresh.• Supporting feature engineering and AI model monitoring across healthcare use cases.• Tuning Snowflake queries and clustering strategies to optimize cost and performance.• Enforcing row-level security (RLS) and integrating Azure AD for dynamic role-based access, ensuring data governance and compliance.

Education

• Narasaraopeta Engineering College

  Bachelor's degree

• Christian Brothers University

  Master's degree